JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation

This study presents an efficient method to accurately predict solder joint geometry after a reflow process. The proposed method can be utilized for Solder Mask Defined (SMD), Non-Solder Mask Defined (NSMD), or C4 type solder joints. The reflow process involves several design factors capable of influencing the final shape of the molten solder joint, such as solder joint volume, restoring force, surface tension, contact angle, pad thickness, and pad size. These factors are all considered in the calculations. The computed results are compared with those using the Surface Evolver program and also with available numerical/experimental results. Their excellent agreement shows that the method developed herein can be practically applied to predict the reflow shape of SMD/NSMD solder joints. The difference between SMD and NSMD is also examined in detail. Results in this study provide designers with a fundamental guideline for accurately predicting the liquid formation of solder joints during the reflow process.

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3D cerebrovascular segmentation combining fuzzy vessel enhancement and level-sets with anisotropic energy weights

Magnetic Resonance Imaging ◽

10.1016/j.mri.2012.07.008 ◽

2013 ◽

Vol 31 (2) ◽

pp. 262-271 ◽

Cited By ~ 43

Author(s):

Nils Daniel Forkert ◽

Alexander Schmidt-Richberg ◽

Jens Fiehler ◽

Till Illies ◽

Dietmar Möller ◽

...

Keyword(s):

Level Sets ◽

Cerebrovascular Segmentation ◽

Anisotropic Energy ◽

Vessel Enhancement

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Effects of Extracts from Paederia scandens (LOUR.) MERRILL (Rubiaceae) on MSU Crystal-Induced Rats Gouty Arthritis

The American Journal of Chinese Medicine ◽

10.1142/s0192415x09007156 ◽

2009 ◽

Vol 37 (04) ◽

pp. 669-683 ◽

Cited By ~ 12

Author(s):

Ying Ma ◽

Lan-Lan Zhou ◽

Hai-Yan Yan ◽

Mei Liu

Keyword(s):

Immune Responses ◽

Synovial Tissue ◽

Gouty Arthritis ◽

Rt Pcr ◽

Traditional Herbal Medicine ◽

Tnf Α ◽

Antiinflammatory Effects ◽

Paederia Scandens ◽

Joint Volume ◽

Msu Crystals

The effects of extract of Paederia scandens (LOUR.) MERRILL (Rubiaceae) (EPS), a Chinese traditional herbal medicine, on inflammatory and immune responses and their mechanisms in MSU crystals-induced (GA) rats were studied. GA rats were established. Ankle joint volume of rats was measured by volume meter; the level of TNF-α and IL-1β was determined by radioimmunoassay. mRNA expressions of TNF-α and IL-1β in synovial tissue of GA rats were analyzed by RT-PCR, and the expression of NF-κB was detected by immunohistochemistry. The administration of EPS (2.25, 4.5 g/kg, ig 9 days) inhibited the inflammatory response in GA rats. The mRNA expressions of TNF-α and IL-1β were also significantly suppressed in synovial tissue. In addition, EPS (2.25, 4.5 g/kg, ig 9 days) inhibited the expression of TNF-α and IL-1β and the biological activity of NF-κB. These results suggested that EPS possesses antiinflammatory effects by modulating pro-inflammatory mediators' production in synovial tissue and inactivating NF-κB pathway transmembrane signal transduction which plays a crucial role in the pathogenesis of this disease.

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Automatic cerebrovascular segmentation methods-a review

IAES International Journal of Artificial Intelligence (IJ-AI) ◽

10.11591/ijai.v10.i3.pp576-583 ◽

2021 ◽

Vol 10 (3) ◽

pp. 576

Author(s):

Fatma Taher ◽

Neema Prakash

Keyword(s):

Blood Vessels ◽

Complex Shape ◽

Automatic Segmentation ◽

Cerebrovascular Diseases ◽

And Topology ◽

Cerebrovascular Segmentation ◽

Segmentation Methods ◽

3D Cnn ◽

Cerebrovascular System ◽

The Brain

Cerebrovascular diseases are one of the serious causes for the increase in mortality rate in the world which affect the blood vessels and blood supply to the brain. In order, diagnose and study the abnormalities in the cerebrovascular system, accurate segmentation methods can be used. The shape, direction and distribution of blood vessels can be studied using automatic segmentation. This will help the doctors to envisage the cerebrovascular system. Due to the complex shape and topology, automatic segmentation is still a challenge to the clinicians. In this paper, some of the latest approaches used for segmentation of magnetic resonance angiography images are explained. Some of such methods are deep convolutional neural network (CNN), 3dimentional-CNN (3D-CNN) and 3D U-Net. Finally, these methods are compared for evaluating their performance. 3D U-Net is the better performer among the described methods.

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